Delivery Solutions Architect
Databricks7 hours ago
Stockholm, SwedenSenior
Responsibilities
- Serve as the Databricks architect and post-sales technical lead for strategic customer use cases from development through go-live.
- Lead technical account strategy, execution plans, onboarding plans, and customer adoption across multiple Databricks use cases.
- Conduct architecture reviews, demonstrate capabilities, support performance and cost optimization, and resolve technical blockers.
- Coordinate Databricks shared services, education, onboarding, technical services, support, professional services, product, and engineering teams.
- Track and report usage, customer health, risks, blockers, product adoption, and use-case progression to Field Engineering leadership.
- Build executive and technical stakeholder relationships, support business-value alignment, and drive customer growth and use-case acceleration.
Requirements
- At least 5 years of experience accountable for delivery of Data, Analytics, or AI projects and contributing to customer-facing technical debates and design decisions.
- Programming experience with PySpark, Python, and Databricks or a similar data platform.
- Understanding and hands-on experience with solution architecture for distributed data and analytics systems.
- Experience in customer-facing pre-sales, technical architecture, customer success, or consulting roles.
- Experience attributing business value and outcomes to project deliverables and coordinating technical programs, accounts, and stakeholders.
- Experience resolving complex escalations with senior customer technical stakeholders.
- Track record of overachievement against quota, goals, or similar objective targets.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
Benefits
- Hybrid or remote work arrangement in Sweden, Denmark, or Finland.
- Comprehensive regional benefits and employee perks.
- Travel of up to 30% may be required.
Tech Stack
DatabricksPython
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.